
Explore cloud-based Hadoop deployment benefits, including scalability and cost-efficiency. Learn to integrate on-premise and cloud implementations for optimal performance and flexibility.

Explore upgrading mission-critical databases to SQL Server 2014, enabling new features like in-Memory OLTP and Managed Backup, with minimal downtime for large workloads.

Explore Microsoft's approach to evolving data warehouse infrastructure, addressing explosive data growth and new data types. Learn about scale-out technologies, in-memory performance, and Hadoop integration.

Explore SQL Server 2014's in-memory OLTP technology, focusing on ACID compliance, storage optimization, memory provisioning, high availability, and manageability for enhanced database performance.

Explore SQL Server PowerPivot add-ins for Excel and SharePoint, enabling large-scale data analysis, multidimensional modeling, and collaborative business intelligence within familiar Microsoft tools.

Explore SSIS improvements in SQL Server "Denali": enhanced developer experience, project & parameter model, server-based deployment, and hundreds of customer-reported fixes for highest quality release.

Explore GUID usage in databases, its impact on performance, and alternative solutions for efficient data handling and scalability in SQL Server environments.

Discover modern data monetization strategies using Hortonworks HDP. Explore efficient techniques for managing and extracting value from your data assets.

Explore JSON integration in SQL Server 2016, covering objects, arrays, path expressions, functions, and indexing for enhanced data handling and querying capabilities.

Explore SQL Server 2016's hero features, including record-breaking performance, enhanced availability, in-memory OLTP, and secure data protection, with practical applications in financial data management.

Explore the differences between relational, non-relational databases, and Hadoop, covering origins, key features, use cases, and Microsoft's data platform solutions.

Explore JSON integration in SQL Server 2016, covering history, examples, support features, and practical applications for efficient data handling and querying.

Learn to enhance small to mid-size Kimball data warehouses with a design architecture for capturing, measuring, and relating data quality issues to existing fact and dimension tables.

Explore common patterns for building end-to-end data analytics pipelines using Apache Spark on Azure HDInsight, covering architecture, integration points, and various pipeline options.

Explore Azure Data Lake technologies, their benefits, challenges, and implementation strategies for effective big data storage, processing, and analysis in the cloud.

Explore Data Positioning's evolution in data management, learning its history, principles, and architecture for delivering value in current and future scenarios.

Optimize SQL Server Integration Services packages with expert Andy Leonard. Learn tuning techniques for faster SSIS performance using sample and real-world data in this practical demonstration.

Aprende a crear y gestionar proyectos de integración de datos escalables en la nube utilizando Azure Data Factory, abordando fuentes en la nube, on-premise y paquetes SSIS tradicionales.

Learn Azure Data Factory fundamentals, build new data pipelines, and migrate SSIS packages. Discover how to streamline your data integration processes in the cloud.

Explore SQL Server 2019's big data cluster architecture, integrating SQL Server with HDFS for petabyte-scale storage and leveraging Kubernetes for scalable data processing and virtualization.

Unified data analytics platform for ingesting, preparing, managing, and serving data, combining enterprise data warehousing and big data analytics capabilities.